R functions for constructing all necessary graphical displays and performing various multi-dimensional visualisation based techniques.| Stellenbosch University: 7 | Erasmus University: 3 | Universitat Pompeu Fabra: 1 |
| North West University: 2 | Universiteit Leiden: 2 | Univerisity Compania “Luigi Vanvielli”: 1 |
| University of the Witwatersrand: 1 | Democritus University: 1 | University of Naples Federico II: 1 |
| University of the Free State: 1 | Universite De Moncton: 1 | University of Wollongong: 1 |
| Sasol: 1 | TU Wien: 1 | University of Porto: 1 |
| Heineken: 1 | Independent risk analyst: 1 |
Director:
Sugnet Lubbe (SU)
Deputy-Director:
Johané Nienkemper-Swanepoel (SU)
Secretary:
Raeesa Ganey (Wits)
Financial Officer:
Roelof Coetzer (NWU)
biplotEZ - pronounced biplot easy
Lubbe S, le Roux N, Nienkemper-Swanepoel J, Ganey R, Buys R, Adams Z, Manefeldt P (2025). biplotEZ: EZ-to-Use Biplots. R package version 2.3, https://github.com/MuViSU/biplotEZ.
moveEZ - pronounced move easy
biplotEZ to create biplot objects.Ganey R & Nienkemper-Swanepoel J (2025). moveEZ: Animated Biplots. R package version 1.1.1, https://CRAN.R-project.org/package=moveEZ.
wideRhino - pronounced wide Rhino
Ganey R (2025). wideRhino: High-Dimensional Methods via Generalised Singular Decomposition. R package version 1.0.2, https://CRAN.R-project.org/package=wideRhino.
bipl5 - pronounced bipl vyf
Buys R & van der Merwe C (2023). bipl5: Construct Reactive Calibrated Axes Biplots. R package version 1.0.2, https://CRAN.R-project.org/package=bipl5.
GPAbin - pronounced G - P - A - bin
Nienkemper-Swanepoel J (2025). GPAbin: Unifying Multiple Biplot Visualisations into a Single Display. R package version 1.1.1, https://CRAN.R-project.org/package=GPAbin.
ClusBoot - pronounced clusboot
Lubbe S (2024). ClusBoot: Bootstrap a Clustering Solution to Establish the Stability of the Clusters. R package version 1.2.2, https://CRAN.R-project.org/package=ClusBoot.
Multi-dimensional scatter plot / generalised scatter plot.
Both observations (samples) and variables represented in the same figure.
Represent multivariate data in lower dimension.
Example
Iturbide et al. 2020. An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets. Earth System Science Data 12(4):2959-2970.
biplotEZ moveEZ bipl5 wideRhino)GPAbin)moveEZ and bipl5 current versions only include PCA biplots.biplotEZ
Aims
Apply biplot methodology to real world multi-dimensional data challenges.
Introduce biplot methodology in applied fields. Exploring data visually without knowledge of the underlying mathematics.
New data, new opportunities. Extensions of biplot methodology to meet new challenges.
Specific projects
MuViSU members:
moveEZ, expanding methodology beyond PCA biplots.
Climate studies paper incorporating biplotEZ and moveEZ.
Biplots for linguistic patterns.
MuViSU members and external collaborators:
Visualisations to explore sampling units. Collaborator: Prof Pedro Luis de Silva (Brazil)
Biplots for thermal and emissions performance. Collaborator: Prof Hein Neomagus (NWU)
Bridging biplots and data tours (tourr). Collaborator: Prof Dianne Cook (Monash University)